Genome-wide population genetic analysis identifies evolutionary forces establishing continuous population divergence

Yuma Takahashi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Elucidating the mechanism shaping the spatial variations of traits has long been a central concern of evolutionary biologists. Geographic clines of allele/morph frequencies along environmental gradients are suggested to be established and maintained by the balancing of two opposing evolutionary forces, namely selection that generates spatial differentiation in morph frequencies, and selection and/or stochastic factors that lead to the coexistence of multiple morphs within a population. Thus, testing for both selection and stochastic factors is necessary for a comprehensive understanding of the mechanism underlying clinal variation in morph/allele frequency in natural populations. Here, I identified the evolutionary forces responsible for clinal variation of color morph frequency in Ischnura senegalensis by comparing the population divergence of putatively neutral loci generated by high-throughput next-generation sequencing (FSTn) with that of the putative color locus (FSTc). No strong correlation was observed between FSTn and FSTc, suggesting that stochastic factors contribute less to color-locus population divergence. FSTc was less than FSTn between populations exposed to similar environmental conditions, but greater than FSTn between populations exposed to different environmental conditions, suggesting that both balancing selection and divergent selection act on the color locus. Therefore, two antagonistic selection factors rather than stochastic and historical factors contribute to establishing the clinal variation of morph frequency in I. senegalensis.

Original languageEnglish
Pages (from-to)461-468
Number of pages8
JournalEcological Research
Volume32
Issue number4
DOIs
Publication statusPublished - 2017 Jul 1

Keywords

  • Balancing selection
  • Cline
  • Damselfly
  • Divergent selection
  • Stochastic factor

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

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